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© 2015

Modeling and Control of Greenhouse Crop Growth

Benefits

  • For the academic researcher: describes the state of the art in greenhouse control summarizing new solutions using advanced control techniques

  • For the industrial food producer: advises improvements to software currently restricted to low-level climate and irrigation aspects of crop growth control

  • For the practitioner: improvements in greenhouse management and crop growth are made plain by real results

Book

Part of the Advances in Industrial Control book series (AIC)

Table of contents

  1. Front Matter
    Pages i-xxix
  2. Francisco Rodríguez, Manuel Berenguel, José Luis Guzmán, Armando Ramírez-Arias
    Pages 1-8
  3. Francisco Rodríguez, Manuel Berenguel, José Luis Guzmán, Armando Ramírez-Arias
    Pages 9-97
  4. Francisco Rodríguez, Manuel Berenguel, José Luis Guzmán, Armando Ramírez-Arias
    Pages 99-196
  5. Francisco Rodríguez, Manuel Berenguel, José Luis Guzmán, Armando Ramírez-Arias
    Pages 197-214
  6. Francisco Rodríguez, Manuel Berenguel, José Luis Guzmán, Armando Ramírez-Arias
    Pages 215-219
  7. Back Matter
    Pages 221-250

About this book

Introduction

A discussion of challenges related to the modeling and control of greenhouse crop growth, this book presents state-of-the-art answers to those challenges. The authors model the subsystems involved in successful greenhouse control using different techniques and show how the models obtained can be exploited for simulation or control design; they suggest ideas for the development of physical and/or black-box models for this purpose.

Strategies for the control of climate- and irrigation-related variables are brought forward. The uses of PID control and feedforward compensators, both widely used in commercial tools, are summarized. The benefits of advanced control techniques—event-based, robust, and predictive control, for example—are used to improve on the performance of those basic methods.

A hierarchical control architecture is developed governed by a high-level multiobjective optimization approach rather than traditional constrained optimization and artificial intelligence techniques.  Reference trajectories are found for diurnal and nocturnal temperatures (climate-related setpoints) and electrical conductivity (fertirrigation-related setpoints). The objectives are to maximize profit, fruit quality, and water-use efficiency, these being encouraged by current international rules. Illustrative practical results selected from those obtained in an industrial greenhouse during the last eight years are shown and described. The text of the book is complemented by the use of illustrations, tables and real examples which are helpful in understanding the material.

Modeling and Control of Greenhouse Crop Growth will be of interest to industrial engineers, academic researchers and graduates from agricultural, chemical, and process-control backgrounds.

Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

Keywords

Hierarchical Control Model Predictive Control Modelling of Greenhouse Crop Growth Multiobjective Control Optimal Control of Greenhouse Crop Growth

Authors and affiliations

  1. 1.Dpto. InformáticaUniversidad de AlmeríaAlmeríaSpain
  2. 2.Dpto. InformáticaUniversidad de AlmeríaAlmeríaSpain
  3. 3.Dpto. InformaticaUniversidad de AlmeríaAlmeríaSpain
  4. 4.Matemáticas e Informática (CITE IIIUniversidad de AlmeríaAlmeríaSpain

Bibliographic information

  • Book Title Modeling and Control of Greenhouse Crop Growth
  • Authors Francisco Rodríguez
    Manuel Berenguel
    José Luis Guzmán
    Armando Ramírez-Arias
  • Series Title Advances in Industrial Control
  • Series Abbreviated Title Advances in Industrial Control
  • DOI https://doi.org/10.1007/978-3-319-11134-6
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-3-319-11133-9
  • Softcover ISBN 978-3-319-34349-5
  • eBook ISBN 978-3-319-11134-6
  • Series ISSN 1430-9491
  • Series E-ISSN 2193-1577
  • Edition Number 1
  • Number of Pages XXIX, 250
  • Number of Illustrations 23 b/w illustrations, 76 illustrations in colour
  • Topics Control and Systems Theory
    Agriculture
    Industrial and Production Engineering
  • Buy this book on publisher's site
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